class_docstr: Run hook used by the evaluation routines to run the `eval_ops` N times.
code: def after_create_session(self, session, coord):
      # Update number of steps to run in the first run call
      if self._num_evals is None:
          steps = self._steps_per_run_initial_value
      else:
          steps = min(
              self._steps_per_run_initial_value, self._num_evals
          )
      self._steps_per_run_variable.load(steps, session=session)
  
imports: import math
  import time
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training import basic_session_run_hooks
  from tensorflow.python.training import monitored_session
  from tensorflow.python.training import session_run_hook
label_desc: Use image node_id 4 for calling the _MultiStepStopAfterNEvalsHook obj's underlying member method code with example usage: obj.after_create_session(session, coord) without return types